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## Details

Genre/Form: | Electronic books |
---|---|

Material Type: | Document, Internet resource |

Document Type: | Internet Resource, Computer File |

All Authors / Contributors: |
Sébastien Destercke; Thierry Denoeux; María Á Gil; Przemysłav Grzegorzewski; Olgierd Hryniewicz |

ISBN: | 9783319975474 3319975471 |

OCLC Number: | 1046085042 |

Description: | 1 online resource. |

Contents: | Imprecise Statistical Inference for Accelerated Life Testing Data: Imprecision Related to Log-Rank Test -- Descriptive Comparison of the Rating Scales Through Different Scale Estimates: Simulation-Based Analysis -- Central Moments of a Fuzzy Random Variable Using the Signed Distance: A Look Towards the Variance -- On Missing Membership Degrees: Modelling Non-existence, Ignorance and Inconsistency -- Characterization of Conditional Submodular Capacities: Coherence and Extension -- Some Partial Order Relations on a Set of Random Variables -- A Desirability-Based Axiomatisation for Coherent Choice Functions -- Cycle-Free Cuts of the Reciprocal Relation Generated by Random Variables that are Pairwisely Coupled by a Frank Copula -- Density Estimation with Imprecise Kernels: Application to Classification -- Z-numbers as Generalized Probability Boxes -- Computing Inferences for Large-Scale Continuous-Time Markov Chains by Combining Lumping with Imprecision -- Robust Fuzzy Relational Clustering of Non-linear Data -- Measures of Dispersion for Interval Data -- A Maximum Likelihood Approach to Inference Under Coarse Data Based on Minimax Regret -- Monitoring of Time Series Using Fuzzy Weighted Prediction Models -- Control Charts Designed Using Model Averaging Approach for Phase Change Detection in Bipolar Disorder -- An Imprecise Probabilistic Estimator for the Transition Rate Matrix of a Continuous-Time Markov Chain -- Imprecise Probability Inference on Masked Multicomponent System -- Regression Ensemble with Linguistic Descriptions -- Dynamic Classifier Selection Based on Imprecise Probabilities: A Case Study for the Naive Bayes Classifier -- Case Study-Based Sensitivity Analysis of Scale Estimates w.r.t. the Shape of Fuzzy Data -- Compatibility, Coherence and the RIP -- Estimation of Classification Probabilities in Small Domains Accounting for Nonresponse Relying on Imprecise Probability -- Beyond Doss and Fréchet Expectation Sets -- Empirical Comparison of the Performance of Location Estimates of Fuzzy Number-Valued Data -- Continuity of the Shafer-Vovk-Ville Operator -- Choquet Theorem for Random Sets in Polish Spaces and Beyond -- Generalising the Pari-Mutuel Model -- A Net Premium Model for Life Insurance Under a Sort of Generalized Uncertain Interest Rates. |

Series Title: | Advances in intelligent systems and computing, 832. |

Responsibility: | Sébastien Destercke, Thierry Denoeux, María Ángeles Gil, Przemyslaw Grzegorzewski, Olgierd Hryniewicz, editors. |

### Abstract:

Indeed, an important aspect of some of the learned predictive models is the trust placed in them. Modelling the uncertainty associated with the data and the models carefully and with principled methods is one of the means of increasing this trust, as the model will then be able to distinguish between reliable and less reliable predictions.
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